/*
 * Copyright (2021) The Delta Lake Project Authors.
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 * http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */
package org.apache.spark.sql.delta

import org.apache.spark.sql.{Column, DataFrame, Dataset, Encoders, SparkSession}
import org.apache.spark.sql.execution.QueryExecution
import org.apache.spark.sql.catalyst.plans.logical.LogicalPlan

object DataFrameUtils {
  def ofRows(spark: SparkSession, plan: LogicalPlan): DataFrame = Dataset.ofRows(spark, plan)
  def ofRows(queryExecution: QueryExecution): DataFrame = {
    val ds = new Dataset(queryExecution, Encoders.row(queryExecution.analyzed.schema))
    ds.asInstanceOf[DataFrame]
  }
}
